enmSdmX: Species Distribution Modeling and Ecological Niche Modeling

Implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with 'PROJ6' geodetic objects and coordinate reference systems.

Version: 1.0.1
Depends: R (≥ 4.0.0)
Imports: boot, dismo, doParallel, foreach, gbm, graphics, ks, maxnet, methods, mgcv, MuMIn, omnibus, parallel, randomForest, scales, sf, stats, terra, utils
Suggests: ecospat, geodata
Published: 2023-01-25
Author: Adam B. Smith ORCID iD [cre, aut]
Maintainer: Adam B. Smith <adam.smith at mobot.org>
BugReports: https://github.com/adamlilith/enmSdmX
License: MIT + file LICENSE
URL: https://github.com/adamlilith/enmSdmX
NeedsCompilation: no
Materials: README NEWS
CRAN checks: enmSdmX results

Documentation:

Reference manual: enmSdmX.pdf

Downloads:

Package source: enmSdmX_1.0.1.tar.gz
Windows binaries: r-devel: enmSdmX_1.0.1.zip, r-release: enmSdmX_1.0.1.zip, r-oldrel: enmSdmX_1.0.1.zip
macOS binaries: r-release (arm64): enmSdmX_1.0.1.tgz, r-oldrel (arm64): enmSdmX_1.0.1.tgz, r-release (x86_64): enmSdmX_1.0.1.tgz, r-oldrel (x86_64): enmSdmX_1.0.1.tgz
Old sources: enmSdmX archive

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